AnthropicPaidOperational

Llama 3.3 70b Instruct

API model name: llama-3.3-70b-instruct

Llama 3.3 70b Instruct is Anthropic's chat model, served on the Api.Airforce unified API. It is priced at $0.21 per million input tokens and $0.21 per million output tokens. Access it through the OpenAI-compatible API with one key, alongside 100+ other models on Api.Airforce.

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Pricing

Input / 1M tokens

$0.21

Output / 1M tokens

$0.21

Cache read / 1M tokens

$0.02

Specifications

Provider: Anthropic
Type: chat model

What is Llama 3.3 70b Instruct used for?

Chatbots & assistants — conversational AI, drafting, summarizing and Q&A.

Llama 3.3 70b Instruct vs. similar models

Model	Intelligence	Context	Input / 1M	Output / 1M
Llama 3.3 70b Instruct	—	—	$0.21	$0.21
[SP]claude Opus 4.6	—	—	$26.52	$0.02
[SP]claude Opus 4.7	—	—	$26.52	$0.02
[SP]claude Opus 4.8	—	—	$26.52	$0.02

Prices are Api.Airforce pay-as-you-go rates per 1M tokens. Context is the maximum input length.

Related models

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Llama 3.3 70b Instruct — frequently asked questions

How much does Llama 3.3 70b Instruct cost?: Llama 3.3 70b Instruct is billed pay-as-you-go at $0.21 per 1M input tokens and $0.21 per 1M output tokens. There is no subscription — you only pay for what you use.
What can Llama 3.3 70b Instruct do?: Llama 3.3 70b Instruct is Anthropic's chat model, accessible through the Api.Airforce API.
Is Llama 3.3 70b Instruct free to use?: Llama 3.3 70b Instruct is a paid, pay-as-you-go model — no subscription, you are only charged for usage.
How do I use Llama 3.3 70b Instruct via the API?: Llama 3.3 70b Instruct is OpenAI-compatible. Point any OpenAI SDK at https://api.airforce/v1 and pass the model ID llama-3.3-70b-instruct with your Api.Airforce API key.
Who makes Llama 3.3 70b Instruct?: Llama 3.3 70b Instruct is Anthropic's chat model, served through the unified Api.Airforce gateway alongside 100+ other models.

All models·Quickstart·Chat API reference

Use Llama 3.3 70b Instruct via the API

OpenAI-compatible — point any OpenAI SDK at https://api.airforce/v1 and pass llama-3.3-70b-instruct as the model.

cURL

curl https://api.airforce/v1/chat/completions \
  -H "Authorization: Bearer $AIRFORCE_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "llama-3.3-70b-instruct",
    "messages": [{ "role": "user", "content": "Hello!" }]
  }'

Python

from openai import OpenAI
client = OpenAI(base_url="https://api.airforce/v1", api_key="$AIRFORCE_API_KEY")
r = client.chat.completions.create(
    model="llama-3.3-70b-instruct",
    messages=[{"role": "user", "content": "Hello!"}],
)
print(r.choices[0].message.content)

JavaScript

import OpenAI from "openai";
const client = new OpenAI({ baseURL: "https://api.airforce/v1", apiKey: process.env.AIRFORCE_API_KEY });
const r = await client.chat.completions.create({
  model: "llama-3.3-70b-instruct",
  messages: [{ role: "user", content: "Hello!" }],
});
console.log(r.choices[0].message.content);